Dataset Versions

v1

2024-01-26 12:31pm

Generated on Jan 26, 2024

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
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Dataset Split

Train Set 72%
4218Images
Valid Set 25%
1490Images
Test Set 3%
156Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±16° Vertical
Saturation: Between -25% and +25%
Brightness: Between -19% and +19%
Exposure: Between -10% and +10%
Blur: Up to 2.9px

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